<TITLE> Distributions library </TITLE>
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<pre> 
-------- pdf, cdf, inverse and random deviate functions -------- 
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<pre> 
<A HREF = "beta_cdf.m  ">beta_cdf    </A>: cdf of the beta distribution
<A HREF = "beta_d.m    ">beta_d      </A>: demo of beta distribution functions
<A HREF = "beta_inv.m  ">beta_inv    </A>: inverse of the cdf (quantile) of the beta(a,b) distribution
<A HREF = "beta_pdf.m  ">beta_pdf    </A>: pdf of the beta(a,b) distribution
<A HREF = "beta_rnd.m  ">beta_rnd    </A>: random draws from the beta(a,b) distribution
<A HREF = "bincoef.m   ">bincoef     </A>: generate binomial coefficients
<A HREF = "bingen.m    ">bingen      </A>: generate binomial probability
<A HREF = "bino_cdf.m  ">bino_cdf    </A>: cdf at x of the binomial(n,p) distribution
<A HREF = "bino_d.m    ">bino_d      </A>: demo of binomial distribution functions
<A HREF = "bino_pdf.m  ">bino_pdf    </A>: pdf at x of the binomial(n,p) distribution
<A HREF = "bino_rnd.m  ">bino_rnd    </A>: random sampling from a binomial distribution
<A HREF = "chis_cdf.m  ">chis_cdf    </A>: returns the cdf at x of the chisquared(n) distribution
<A HREF = "chis_d.m    ">chis_d      </A>: demo of chis-squared distribution functions
<A HREF = "chis_inv.m  ">chis_inv    </A>: returns the inverse (quantile) at x of the chisq(n) distribution
<A HREF = "chis_pdf.m  ">chis_pdf    </A>: returns the pdf at x of the chisquared(n) distribution
<A HREF = "chis_prb.m  ">chis_prb    </A>: computes the chi-squared probability function
<A HREF = "chis_rnd.m  ">chis_rnd    </A>: generates random chi-squared deviates
<A HREF = "com_size.m  ">com_size    </A>: makes a,b scalars equal to constant matrices size(x)
<A HREF = "demo_distr.m">demo_distr  </A>: demo all distribution functions
<A HREF = "fdis_cdf.m  ">fdis_cdf    </A>: returns cdf at x of the F(a,b) distribution
<A HREF = "fdis_d.m    ">fdis_d      </A>: demo of F-distribution functions
<A HREF = "fdis_inv.m  ">fdis_inv    </A>: returns inverse (quantile) at x of the F(a,b) distribution
<A HREF = "fdis_pdf.m  ">fdis_pdf    </A>: returns pdf at x of the F(a,b) distribution
<A HREF = "fdis_prb.m  ">fdis_prb    </A>: computes f-distribution probabilities
<A HREF = "fdis_rnd.m  ">fdis_rnd    </A>: returns random draws from the F(a,b) distribution
<A HREF = "gamm_cdf.m  ">gamm_cdf    </A>: returns the cdf at x of the gamma(a) distribution
<A HREF = "gamm_d.m    ">gamm_d      </A>: demo of gamma distribution functions
<A HREF = "gamm_inv.m  ">gamm_inv    </A>: returns the inverse of the cdf at p of the gamma(a) distribution
<A HREF = "gamm_pdf.m  ">gamm_pdf    </A>: returns the pdf at x of the gamma(a) distribution
<A HREF = "gamm_rnd.m  ">gamm_rnd    </A>: a matrix of random draws from the gamma distribution
<A HREF = "hypg_cdf.m  ">hypg_cdf    </A>: hypergeometric cdf function
<A HREF = "hypg_d.m    ">hypg_d      </A>: demo of Hypergeometric distribution functions
<A HREF = "hypg_inv.m  ">hypg_inv    </A>: hypergeometric inverse (quantile) function
<A HREF = "hypg_pdf.m  ">hypg_pdf    </A>: hypergeometric pdf function
<A HREF = "hypg_rnd.m  ">hypg_rnd    </A>: hypergeometric random draws
<A HREF = "is_scalar.m ">is_scalar   </A>: determines if argument x is scalar
<A HREF = "logn_cdf.m  ">logn_cdf    </A>: cdf of the lognormal distribution
<A HREF = "logn_d.m    ">logn_d      </A>: demo of log-normal distribution functions
<A HREF = "logn_inv.m  ">logn_inv    </A>: inverse cdf (quantile) of the lognormal distribution
<A HREF = "logn_pdf.m  ">logn_pdf    </A>: pdf of the lognormal distribution
<A HREF = "logn_rnd.m  ">logn_rnd    </A>: random draws from the lognormal distribution
<A HREF = "logt_cdf.m  ">logt_cdf    </A>: cdf of the logistic distribution
<A HREF = "logt_d.m    ">logt_d      </A>: demo of logistic distribution functions
<A HREF = "logt_inv.m  ">logt_inv    </A>: inv of the logistic distribution
<A HREF = "logt_pdf.m  ">logt_pdf    </A>: pdf of the logistic distribution at x
<A HREF = "logt_rnd.m  ">logt_rnd    </A>: random draws from the logistic distribution
<A HREF = "norm_cdf.m  ">norm_cdf    </A>: computes the cumulative normal distribution 
<A HREF = "norm_crnd.m ">norm_crnd   </A>: random numbers from a contaminated normal distribution
<A HREF = "norm_inv.m  ">norm_inv    </A>: computes the quantile (inverse of the CDF) 
<A HREF = "norm_pdf.m  ">norm_pdf    </A>: computes the normal probability density function 
<A HREF = "norm_prb.m  ">norm_prb    </A>: computes normal probability given
<A HREF = "norm_prbd.m ">norm_prbd   </A>: demo of norm_prb function
<A HREF = "norm_rnd.m  ">norm_rnd    </A>: random multivariate random vector based on
<A HREF = "normc_d.m   ">normc_d     </A>: demo of contaminated normal random numbers
<A HREF = "normlt_d.m  ">normlt_d    </A>: demo of left-truncated normal random numbers
<A HREF = "normlt_inv.m">normlt_inv  </A>: compute inverse of cdf for left-truncated normal
<A HREF = "normlt_rnd.m">normlt_rnd  </A>: compute random draws from a left-truncated normal
<A HREF = "normrt_d.m  ">normrt_d    </A>: demo of right-truncated normal random numbers
<A HREF = "normrt_inv.m">normrt_inv  </A>: compute inverse of cdf for right-truncated normal
<A HREF = "normrt_rnd.m">normrt_rnd  </A>: compute random draws from a right-truncated normal
<A HREF = "normt_d.m   ">normt_d     </A>: demo of truncated normal random numbers
<A HREF = "normt_inv.m ">normt_inv   </A>: compute inverse of cdf for truncated normal
<A HREF = "normt_rnd.m ">normt_rnd   </A>: random draws from a normal truncated to (left,right) interval
<A HREF = "pois_cdf.m  ">pois_cdf    </A>: computes the cumulative distribution function at x
<A HREF = "pois_d.m    ">pois_d      </A>: demo of poisson distribution functions
<A HREF = "pois_inv.m  ">pois_inv    </A>: computes the quantile (inverse of the cdf) at x
<A HREF = "pois_pdf.m  ">pois_pdf    </A>: computes the probability density function at x
<A HREF = "pois_rnd.m  ">pois_rnd    </A>: generate random draws from the possion distribution
<A HREF = "quantile.m  ">quantile    </A>: compute empirical quantile (percentile).
<A HREF = "stdn_cdf.m  ">stdn_cdf    </A>: computes the standard normal cumulative
<A HREF = "stdn_d.m    ">stdn_d      </A>: demo of standard normal distribution functions
<A HREF = "stdn_inv.m  ">stdn_inv    </A>: computes the quantile (inverse of the CDF) 
<A HREF = "stdn_pdf.m  ">stdn_pdf    </A>: computes the standard normal probability density
<A HREF = "tdis_cdf.m  ">tdis_cdf    </A>: returns cdf at x of the t(n) distribution
<A HREF = "tdis_d.m    ">tdis_d      </A>: demo of Student t-distribution functions
<A HREF = "tdis_inv.m  ">tdis_inv    </A>: returns the inverse (quantile) at x of the t(n) distribution
<A HREF = "tdis_pdf.m  ">tdis_pdf    </A>: returns the pdf at x of the t(n) distribution
<A HREF = "tdis_prb.m  ">tdis_prb    </A>: calculates t-probabilities for elements in x-vector 
<A HREF = "tdis_rnd.m  ">tdis_rnd    </A>: returns random draws from the t(n) distribution
<A HREF = "trunc_d.m   ">trunc_d     </A>: demo of truncated normal draws
<A HREF = "unif_d.m    ">unif_d      </A>: demo of uniform distribution functions
<A HREF = "unif_rnd.m  ">unif_rnd    </A>: returns a uniform random number between a,b 
<A HREF = "wish_d.m    ">wish_d      </A>: demo of random draws from a Wishart distribution
<A HREF = "wish_rnd.m  ">wish_rnd    </A>: generate random wishart matrix
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